model-selection-rs 0.1.0

Cross-validation and model-selection utilities for Rust: stratified / group-aware / time-series splitting, nested CV, and learning & validation curves. Dependency-light, composes with any modeling crate.
Documentation 
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# THIS FILE IS AUTOMATICALLY GENERATED BY CARGO
#
# When uploading crates to the registry Cargo will automatically
# "normalize" Cargo.toml files for maximal compatibility
# with all versions of Cargo and also rewrite `path` dependencies
# to registry (e.g., crates.io) dependencies.
#
# If you are reading this file be aware that the original Cargo.toml
# will likely look very different (and much more reasonable).
# See Cargo.toml.orig for the original contents.

[package]
edition = "2021"
rust-version = "1.74"
name = "model-selection-rs"
version = "0.1.0"
build = false
exclude = [
    "/.github",
    "/benches/target",
]
autolib = false
autobins = false
autoexamples = false
autotests = false
autobenches = false
description = "Cross-validation and model-selection utilities for Rust: stratified / group-aware / time-series splitting, nested CV, and learning & validation curves. Dependency-light, composes with any modeling crate."
readme = "README.md"
keywords = [
    "machine-learning",
    "cross-validation",
    "kfold",
    "stratified",
    "model-selection",
]
categories = [
    "science",
    "algorithms",
]
license = "MIT"
repository = "https://github.com/mi7plus/model-selection-rs"

[package.metadata.docs.rs]
all-features = true

[features]
default = []
parallel = ["dep:rayon"]
smartcore-metrics = ["dep:smartcore"]

[lib]
name = "model_selection_rs"
path = "src/lib.rs"

[[example]]
name = "cross_validate"
path = "examples/cross_validate.rs"

[[example]]
name = "kfold_family"
path = "examples/kfold_family.rs"

[[example]]
name = "learning_curve"
path = "examples/learning_curve.rs"

[[example]]
name = "nested_cv"
path = "examples/nested_cv.rs"

[[example]]
name = "shuffle_split_family"
path = "examples/shuffle_split_family.rs"

[[example]]
name = "time_series_split"
path = "examples/time_series_split.rs"

[[example]]
name = "validation_curve"
path = "examples/validation_curve.rs"

[[test]]
name = "nested_cv_bias"
path = "tests/nested_cv_bias.rs"

[[test]]
name = "splitters_consistency"
path = "tests/splitters_consistency.rs"

[[bench]]
name = "cross_validate"
path = "benches/cross_validate.rs"
harness = false

[dependencies.ndarray]
version = "0.16"

[dependencies.rand]
version = "0.8"

[dependencies.rayon]
version = "1.7"
optional = true

[dependencies.smartcore]
version = "0.3"
optional = true

[dependencies.thiserror]
version = "1"

[dev-dependencies.approx]
version = "0.5"

[dev-dependencies.criterion]
version = "0.5"